A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Efi Foufoula-Georgiou; Clement Guilloteau; Gavin Kerrigan; Kai Nelson; Giosue Migliorini; Padhraic Smyth; Runze Li; Neda Dolatabadi

doi:https://doi.org/10.5194/egusphere-egu25-13676

[Back] [Session AS1.18]

EGU25-13676, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-13676

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Efi Foufoula-Georgiou¹, Clement Guilloteau¹, Gavin Kerrigan², Kai Nelson², Giosue Migliorini³, Padhraic Smyth², Runze Li¹, and Neda Dolatabadi¹

Efi Foufoula-Georgiou et al.

¹University of California Irvine, Department of Civil and Environmental Engineering
²University of California Irvine, Department of Computer Science
³University of California Irvine, Department of Statistics

How to cite: Foufoula-Georgiou, E., Guilloteau, C., Kerrigan, G., Nelson, K., Migliorini, G., Smyth, P., Li, R., and Dolatabadi, N.: A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13676, https://doi.org/10.5194/egusphere-egu25-13676, 2025.

This abstract has been withdrawn on 05 Apr 2025.